Capacity Improvement for TDD-MIMO Systems via AR Modeling Based Linear Prediction

Authors:
Halil Yigit;Adnan Kavak;Kerem Kucuk
Affiliations:
Wireless Communications and Information Systems Research Center, Kocaeli University, Izmit, Kocaeli, Turkey 41380;Wireless Communications and Information Systems Research Center, Kocaeli University, Izmit, Kocaeli, Turkey 41380;Wireless Communications and Information Systems Research Center, Kocaeli University, Izmit, Kocaeli, Turkey 41380
Venue:
Wireless Personal Communications: An International Journal
Year:
2010

Citing 7
Cited 0

Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas

Wireless Personal Communications: An International Journal
A performance bound for prediction of MIMO channels

IEEE Transactions on Signal Processing
The TD-CDMA based UTRA TDD mode

IEEE Journal on Selected Areas in Communications
Capacity of MIMO systems based on measured wireless channels

IEEE Journal on Selected Areas in Communications
From theory to practice: an overview of MIMO space-time coded wireless systems

IEEE Journal on Selected Areas in Communications
Using adaline neural network for performance improvement of smart antennas in TDD wireless communications

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.02

Visualization

Abstract

The quality of channel state information (CSI) affects the performance of multiple input multiple output (MIMO) systems which employ multi-elements antenna arrays at both the transmitter and the receiver. In a time division duplex (TDD) systems, the CSI for downlink can be obtained from uplink channel using reciprocity principal. However, the performance of a MIMO system can be degraded due to channel impairments especially in fast fading scenarios when the CSI obtained from uplink is used for downlink transmission. In this paper, we study performance of autoregressive (AR) modeling based MIMO channel prediction under varying channel propagation conditions (mobile speed, multipath number and angle spread) and prediction filter order. Our simulation results show that using the predicted CSI for downlink provides capacity improvement compared to conventional method.